Max Kuhn

Statistics and Probability · 2007–2019

A researcher in the Science corpus: 6 papers; trusts 68 researchers and is trusted by 138 researchers here, as inferred from the citation graph.

Subfields

Whom Max Kuhn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Robert Tibshirani
  2. Trevor J. Hastie
  3. Torsten Hothorn
  4. Eric R. Ziegel
  5. Ron Kohavi
  6. Bjørn-Helge Mevik
  7. Leo Breiman
  8. Radford M. Neal
  9. Deepayan Sarkar
  10. Jerome H. Friedman

Who trusts Max Kuhn overall

  1. Chakkrit Kla Tantithamthavorn
  2. Abdulhakim M. Abdi
  3. Miron Bartosz Kursa
  4. Shane McIntosh
  5. Ahmed E. Hassan
  6. M. Delgado
  7. Alexander I. Jordan
  8. Przemyslaw Biecek
  9. David A. Noever
  10. N. Benjamin Erichson

Papers from Max Kuhn's perspective

Ordered by how strongly the researchers Max Kuhn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. The Elements of Statistical Learning
  4. The Nature of Statistical Learning Theory
  5. Gradient-based learning applied to document recognition
  6. Regression Shrinkage and Selection via the Lasso
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Bagging Predictors
  9. Long Short-Term Memory
  10. Random Forests

Their papers